Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective-Reference-Cited by-同舟云学术

Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective

Published:2022 Issue: Volume: Page:291-305
ISSN:2190-3018
Container-title:Smart Innovation, Systems and Technologies
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Author:

Islam Taminul^ORCID,Kundu Arindom^ORCID,Islam Khan Nazmul^ORCID,Chandra Bonik Choyon^ORCID,Akter Flora^ORCID,Jihadul Islam Md^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2541-2_23

Reference25 articles.

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3. V. Chaurasia, S. Pal, Data mining techniques: to predict and resolve breast cancer survivability. Int. J. Comput. Sci. Mob. Comput. IJCSMC 3(1), 10–22 (2014)

4. A. Djebbari, Z. Liu, S. Phan, F. Famili, An ensemble machine learning approach to predict survival in breast cancer. Int. J. Comput. Biol. Drug Des. 1(3), 275–294 (2008)

5. S. Aruna, S.P. Rajagopalan, L.V. Nandakishore, Knowledge based analysis of various statistical tools in detecting breast cancer. Comput. Sci. Inform. Technol. 2(2011), 37–45 (2011)

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